Principal Data Engineer

Join Hims & Hers as a Principal Data Engineer, where you will define and align the architectural vision for our data platform with business goals. You will set technical direction across every surface DPE owns, drive the highest-stakes architectural decisions, and establish the standards that the entire data engineering discipline operates by. Your work will impact millions of patients across telehealth, prescription, and wellness products.

• Definir y alinear la visión arquitectónica de la plataforma de datos con los objetivos comerciales, trabajando en estrecha colaboración con los líderes de producto, ingeniería y ciencia de datos.
• Establecer y hacer cumplir los estándares de ingeniería y los criterios de preparación para la producción en todos los sistemas de propiedad de DPE, incluyendo requisitos de prueba, patrones de CI/CD y gobernanza del registro de esquemas.
• Ser el principal responsable técnico de los cambios que impactan múltiples sistemas y costos, liderando la respuesta a incidentes para incidentes de nivel P1/P2 a nivel de plataforma.
• Deep expertise in cloud-native data platforms across GCP primary (BigQuery, GCS, Dataflow); AWS operational familiarity required (EKS-based Airflow) - BigQuery strongly preferred; multi-cloud fluency is required, not a plus
• Demonstrated ability to define and align architectural vision with business goals across an entire engineering organization
• Experience with data governance and compliance frameworks in a regulated environment - HIPAA/PHI handling, data classification, access controls, audit logging, and GDPR
• Experience designing and operating event streaming pipelines at scale - including Schema Registry, data contracts, and consumer lag management
• 15+ years of professional experience designing, building, and owning data platform architecture at company scale
• Experience owning data quality frameworks - dbt testing, anomaly detection, schema validation, and data observability tooling
• Proven track record establishing engineering standards across multiple teams and driving adoption without direct authority
• Infrastructure-as-code fluency - Terraform or equivalent; you treat infrastructure changes like software changes
• Experience leading incident response for data platform outages - blameless RCA, systemic root cause identification, and operational improvement
• Hands-on experience with the modern data stack: experience governing dbt at platform scale, Airflow/Astronomer, Kafka/Confluent, Databricks/Spark, Fivetran, and data sharing/activation platforms (Hightouch or equivalent)
• Strong Python and SQL skills; comfortable writing, reviewing, and raising the bar on production-grade pipeline code
• Clear written communication: you produce design docs and RFCs that build alignment, not confusion. Comfort operating in ambiguity - you define the path, you don't wait for it to be defined
• Experience at a direct-to-consumer healthcare or telehealth company with HIPAA and GDPR obligations
• Databricks, Unity Catalog, and Delta Lake in production at scale
• Familiarity with SOX compliance controls in a data engineering context
• PySpark/SparkSQL for large-scale batch and streaming workloads
• Experience driving a BigQuery → Databricks Lakehouse migration or equivalent cloud data warehouse migration
• Experience with MLOps - partnering with ML engineers on model training pipelines, feature stores, and experimentation infrastructure
• Experience with CDC (Change Data Capture) patterns and Flink for real-time data processing
• Go or Python service development for Kafka producers and consumers
• We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match